Postdoctoral research associates / research scientists in bioinformatics / computational biology / data science are sought in the group of Prof. Yang Shen in the Department of Electrical and Computer Engineering and the Center for Bioinformatics and Genomic Systems Engineering at Texas A&M University. The NIH-funded project involves methods and software development and application for mechanistic studies of disease-associated mutational effects on proteins and protein interactions, biomolecular pathways and networks, drug effects, and various phenotypes. Interested candidates please send a cover letter with research interests, curriculum vita, and a list of 3 reference contacts to yshen [AT] tamu.edu.
We also welcome Ph.D. applicants who are interested in algorithm development to address computational challenges in bioinformatics and health informatics, including modeling biological molecules, systems, and big data. Corresponding algorithms involve optimization, machine learning, artificial intelligence, pattern recognition, statistics, and systems and control. For Ph.D. applicants, experience in algorithms and programming is required but background in the application areas is not. Texas A&M University College of Engineering is ranked 12th (tied) among graduate schools in U.S..
College Station is conveniently located in the middle of a triangle formed by 3 of the 10 largest cities in the United States: Houston (1.5-hour drive), Dallas, and San Antonio; and within 2-hour drive from Austin, the capital of Texas. The city is one of the fastest growing metro in US (2nd in 2009-13 and15th in 2015) and a frequent choice of the Forbes top 10 list of best small places for business and careers.
For Ph.D. applicants, experience in algorithms and programming is required but background in the application areas is not.
Desired qualifications for Postdoc:
1. Ph.D. in bioinformatics, computational biology, computational chemistry, computational biophysics, computer science, applied mathematics, operations research, engineering, or other related fields;
2. Algorithm development experience in one or more following areas is preferred: optimization, machine learning, probabilistic graphical models, causal analysis, systems and control theory, data mining, statistics, or other related methods.
3. Experience and track record that broadly fall in at least one application area is preferred:
(1) DNA/protein modeling. Examples include sequence analysis, interpreting missense, silent, and noncoding mutations, protein structure prediction, protein-protein, protein-nucleic acid or protein-ligand docking, protein or drug design, conformational flexibility and search, normal modes, molecular dynamics; OR
(2) Biomolecular network modeling. Examples include pathway analysis, graph-theoretic algorithms, differential equations, Boolean networks, Petri nets, etc. ; OR
(3) Biological data analysis. Examples include data integration and pattern recognition in genomic, epigenomic, proteomic, transcriptomic, phenomic, and other omic data, GWAS, pharmacogenomics and diseases, genotype-phenotype association, copy number variation and methylation in diseases, drug effects, various QTL analyses, etc.
4. Linux programming experience in implementing algorithms (required) and databases & web servers (not required but a plus) in one or more following languages: C/C++, Python, R, shell scripting, Perl, SQL, XML, PHP, JavaScript, and Java.
Interested postdoc candidates please send a cover letter with research statement, curriculum vita, and a list of 3 reference contacts to yshen [AT] tamu.edu.
Interested Ph.D. applicants please contact yshen [AT] tamu.edu with research interests and curriculum vita (including a list of relevant courses taken).